Elevated-temperature, strain-controlled fatigue data on Type 304 stainless steel. A compilation, multiple linear regression model, and statistical analysis

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Abstract
The available elevated-temperature, strain-controlled, uniaxial fatigue data on Type 304 stainless steel (474 data points) are tabulated, and variables that influence cyclic life are divided into first- and second-order categories. The first-order variables, which include strain range, strain rate, temperature, and hold time, were used in a multiple linear regression analysis to describe the observed variation in fatigue life for zero and tension hold-time data. Goodness of fit, with respect to these variables, as well as the appropriateness of the transformations used are discussed. Prediction intervals are estimated, and comparisons between the regression equation curves and the data from which they were obtained are made. The second-order variables include the laboratories at which the data were generated, the different heats from which the test specimens were fabricated, and the heat treatments that preceded testing. These variables were statistically analyzed to determine their effect on fatigue life. The results are discussed, and the heats and heat treatments that are most resistant to fatigue damage under these loading and environmental conditions are identified.

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